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Two-parameter bifurcations analysis of a delayed high-temperature superconducting maglev model with guidance force
1School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China.
This study analyzes a modified high-temperature superconducting maglev model, revealing that time delays introduce complex dynamics, including chaotic behavior and multistability, impacting system performance.
Area of Science:
- Physics
- Engineering
- Applied Mathematics
Background:
- High-temperature superconducting (HTS) maglev systems are crucial for advanced transportation.
- Understanding the dynamic properties of HTS maglev models is essential for stability and control.
- Time delays can significantly alter system behavior, yet their impact on HTS maglev dynamics is not fully understood.
Purpose of the Study:
- To investigate the influence of time delay on the dynamic properties of a modified HTS maglev model.
- To analyze stability and bifurcations in both the time-delayed and undelayed systems.
- To explore complex dynamic phenomena such as chaos and multistability introduced by time delays.
Main Methods:
- Analysis of the original HTS maglev model without time delay using center manifold theorem and normal form theory.
- Investigation of co-dimension two bifurcations (Bautin and Hopf-Hopf) in the delayed HTS maglev model.
- Application of bifurcation theory for functional differential equations to calculate normal forms.
- Numerical simulations to explore system dynamics and generate bifurcation diagrams.
Main Results:
- The undelayed system exhibits periodic equilibrium points, with stability and Hopf bifurcations analyzed.
- The delayed system demonstrates co-dimension two bifurcations, including Bautin and Hopf-Hopf bifurcations.
- Numerical simulations reveal abundant dynamic phenomena, such as periodic coexistence and multistability.
- Introduction of time delay leads to chaotic behavior and more complex displacement-velocity relationships.
Conclusions:
- Time delay is a critical factor influencing the dynamic behavior of HTS maglev systems.
- The delayed HTS maglev model exhibits richer and more complex dynamics than the undelayed model.
- Findings provide deeper insights into the stability and control of HTS maglev systems under time-delayed conditions.
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